Computational Modeling of Material Flow Networks

Moeller, Andreas

doi:10.1007/978-3-319-09228-7_18

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…In order to represent and interpret the material and energy flows in a particular process industry, it makes sense to base such analysis on business accounting methods. Material Flow Networks approach can be considered as an accounting system, in which instead of financial flows, material and energy flows are considered [28] and has been initially developed at the University of Hamburg [29]. Material flow models have been applied in industrial material flow management, for structured data assessment and visualization of optimization potentials [30].…”

Section: Materials Flow Networkmentioning

confidence: 99%

Model-Based Simulation Framework for Digital Twins in the Process Industry

Sarantinoudis,

Tsinarakis,

Dedousis

et al. 2023

IEEE Access

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A process modelling and simulation theoretical framework of general use for the study of continuous process industrial systems is introduced. The proposed process modelling methodology is based on Material Flow Networks and is implemented on a Process Simulation Modelling Tool developed for this purpose. The tool introduced can also serve the requirements arising for online use of the models as digital shadows of the physical systems, in the context of digital twinning the process industry. The implemented models in conjunction with tools from other scientific fields can be used for monitoring, root cause analysis, performance optimization, limitation and recovery of the behaviour of systems. An application example of the proposed methodology is provided and useful conclusions arise. Finally, extensions of the proposed method and potential challenges are discussed.

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Section: Materials Flow Networkmentioning

confidence: 99%

Model-Based Simulation Framework for Digital Twins in the Process Industry

Sarantinoudis,

Tsinarakis,

Dedousis

et al. 2023

IEEE Access

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“…At present, common process modeling methods mainly include sequential modular approach, equation-oriented approach and simultaneous modular approach [7][8][9]. The sequential modular approach can easily solve the sequential structure process but cannot be well utilized for the simulation of a process with one or more loops because the process partitioning and cutting means must be adopted initially; this will increase the workload and difficulty of the simulation calculation [10].…”

Section: Introductionmentioning

confidence: 99%

Model Property Based Material Balance and Energy Conservation Analysis for Process Industry Energy Transfer Systems

O’Hare

Zhang

et al. 2015

Energies

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Conventional historical data based material and energy balance analyses are static and isolated computations. Such methods cannot embody the cross-coupling effect of energy flow, material flow and information flow in the process industry; furthermore, they cannot easily realize the effective evaluation and comparison of different energy transfer processes by alternating the model module. In this paper, a novel method for material balance and energy conservation analysis of process industry energy transfer system is developed based on model property. Firstly, a reconfigurable energy transfer process model, which is independent of energy types and energy-consuming equipment, is presented from the viewpoint of the cross-coupling effect of energy flow, material flow and information flow. Thereafter the material balance determination is proposed based on both a dynamic incidence matrix and dynamic balance quantity. Moreover, the model-weighted conservation determination theorem is proved, and the energy efficiency analysis method is also discussed. Results confirmed the efficacy of the proposed methods, confirming its potential for use by process industry in energy efficiency analyses. OPEN ACCESSEnergies 2015, 8 12284

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Material Flow Cost Accounting as a Decision Support Instrument

Möller

Prox

Oka

et al. 2016

Journal of Life Cycle Assessment, Japan

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Synopsis:Challenges of energy efficiency, resource efficiency and in general sustainable development play a more and more important role in corporations and supply chains. In response to these challenges, organizations increasingly reason about implementing life cycle assessment based information instruments.The principal purposes of these instruments are ex post documentation and justification, but there is a growing concern that such an orientation may not be sufficient when the instruments should support internal decision making, in particular with regard to the improvement of internal processes. In the first part of the contribution, we want to develop a specification of a decision support instrument that provides information about the relationship between the improvement of internal processes and interrelated cost reductions and increasing resource efficiency. The second part shows that material flow cost accounting (MFCA) is an appropriate, coherent and stimulating implementation of such a specification. A special feature of MFCA is that it encompasses both the starting position and possible improvements within a single model. The most important keyword in this regard is material loss.

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Computational Modeling of Material Flow Networks

Cited by 3 publications

References 7 publications

Model-Based Simulation Framework for Digital Twins in the Process Industry

Model-Based Simulation Framework for Digital Twins in the Process Industry

Model Property Based Material Balance and Energy Conservation Analysis for Process Industry Energy Transfer Systems

Material Flow Cost Accounting as a Decision Support Instrument

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